J. Baxter
About
J. Baxter has authored 5 papers that have received a total of 708 indexed citations.
This includes 5 papers in Artificial Intelligence, 1 paper in Computer Networks and Communications and 1 paper in Management Science and Operations Research. The topics of these papers are Reinforcement Learning in Robotics (4 papers), Machine Learning and Algorithms (3 papers) and Imbalanced Data Classification Techniques (1 paper). J. Baxter is often cited by papers focused on Reinforcement Learning in Robotics (4 papers), Machine Learning and Algorithms (3 papers) and Imbalanced Data Classification Techniques (1 paper) and collaborates with scholars based in Australia. J. Baxter's co-authors include Peter L. Bartlett, Lehn K. Weaver and Andrew Tridgell and has published in prestigious journals such as Journal of Artificial Intelligence Research and ICGA Journal
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